code: def predict_proba_test_data(self):
      data = [
          dict(
              X_train=self._get_X_train_3(),
              y_train=gs.array([1, 2]),
              X_test=gs.array(
                  [[[1.0, 0], [0, 1]], [[EULER**5, 0], [0, 1]]]
              ),
              expected_proba=gs.array([[1.0, 0.0], [0.5, 0.5]]),
          )
      ]
  
      return self.generate_tests(data)
  
file_path: geomstats/tests/tests_geomstats/test_learning/data/mdm.py
imports: import geomstats.backend
  from geomstats.test.data import TestData
label_desc: Use image node_id 6 for calling the RiemannianMinimumDistanceToMeanSPDTestData obj's underlying member method code with example usage: obj.predict_proba_test_data() and returns: self